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- Tasks: Kick-start your career in Data Science with full training and hands-on projects.
- Company: Join a network of companies eager to hire skilled Data Science graduates.
- Benefits: Flexible training options, job guarantee within 20 miles, and a supportive learning environment.
- Why this job: Gain industry-recognized skills in Python, R, and AI while building a portfolio for future employers.
- Qualifications: No prior experience needed; just a passion for data and a willingness to learn.
- Other info: Complete the program in 4 steps and enjoy a refund if not placed in a role.
The predicted salary is between 24000 - 36000 £ per year.
Our training will help you kick-start a new career as a Data Scientist.
We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion.
Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.
The traineeship is completed in 4 easy steps:
- Step 1 – Full Data Science Career Training
You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. - Step 2 – CompTIA Data+
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. This globally recognized certification will enhance your CV and make you stand out from the crowd. - Step 3 – Practical Projects
Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects will showcase to employers that you have the skills required to work in a data science role.
Your Data Science Role
Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates.
At a one-off cost of £1495, or a deposit of £212 followed by 10 interest-free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees.
Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.
Please note that this is a training course and fees apply.
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Data Science Placement Programme employer: TieTalent
Contact Detail:
TieTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Placement Programme
✨Tip Number 1
Make sure to familiarize yourself with the key tools and technologies mentioned in the job description, such as Python, R, and Machine Learning. This will not only help you during the training but also make you more appealing to potential employers.
✨Tip Number 2
Engage with online communities and forums related to data science. Networking with professionals in the field can provide valuable insights and may even lead to job opportunities once you complete your traineeship.
✨Tip Number 3
Take advantage of the practical projects included in the program. These projects are crucial for building a strong portfolio that showcases your skills to future employers, so put in your best effort!
✨Tip Number 4
Stay proactive during your training by seeking feedback from your tutors and peers. This will help you improve your skills and demonstrate your commitment to learning, which is highly valued by employers.
We think you need these skills to ace Data Science Placement Programme
Some tips for your application 🫡
Understand the Program: Before applying, make sure you fully understand the Data Science Placement Programme. Familiarize yourself with the training structure, the skills you'll learn, and the job guarantee offered upon completion.
Tailor Your CV: Even if you don't have previous experience, highlight any relevant skills or coursework related to data science, programming, or analytical thinking. Make sure your CV is clear, concise, and tailored to the role you're applying for.
Craft a Compelling Cover Letter: Write a cover letter that expresses your passion for data science and your eagerness to learn. Mention why you are interested in this traineeship and how it aligns with your career goals. Be genuine and enthusiastic!
Prepare for Follow-Up: After submitting your application, be ready for a follow-up. Think about potential questions they might ask regarding your interest in data science and your motivation for joining the program. Practice your responses to feel more confident.
How to prepare for a job interview at TieTalent
✨Show Your Passion for Data Science
Make sure to express your enthusiasm for data science during the interview. Talk about what excites you about the field and how you see yourself growing in this career. Employers love candidates who are genuinely passionate about their work!
✨Highlight Your Learning Journey
Since this role is open to those without prior experience, be prepared to discuss your training and any relevant projects you've completed. Share specific examples of what you've learned in Python, R, or machine learning, and how you applied that knowledge in practical scenarios.
✨Prepare for Technical Questions
Even if you're new to the field, it's important to familiarize yourself with common data science concepts and terminology. Brush up on key topics like data mining, visualization, and analytics so you can confidently answer technical questions during the interview.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask thoughtful questions about the company and the role. This shows your interest and helps you determine if the company is the right fit for you. Consider asking about the team you'll be working with or the types of projects you'll be involved in.
